Inside the AI Health Stack: What Clinicians, Investors, and Patients Actually Use today

https://is1-ssl.mzstatic.com/image/thumb/Podcasts211/v4/38/21/1c/38211cd1-14ec-8ab2-a94b-4a1508f7b889/mza_4866548056779189771.jpg/600x600bb.jpg

AI in Medicine - curated summaries making complex issues easy to understand

Mike Rawson

65 episodes

5 days ago

AI in Medicine - Smart Summaries Welcome to AI in Medicine - Smart Summaries, the podcast that brings cutting-edge advancements in artificial intelligence and medical research straight to your ears. In a rapidly evolving field where technology meets healthcare, staying updated can feel overwhelming. Our mission is to make complex topics accessible, engaging, and actionable for healthcare professionals, AI enthusiasts, researchers, and curious minds alike. What You Can Expect Every week, we delve into groundbreaking medical research, transformative AI applications.

Medicine

Health & Fitness

RSS

All content for AI in Medicine - curated summaries making complex issues easy to understand is the property of Mike Rawson and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

Medicine

Health & Fitness

https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/42490339/42490339-1756829877228-21250a91ad9d7.jpg

Inside the AI Health Stack: What Clinicians, Investors, and Patients Actually Use today

AI in Medicine - curated summaries making complex issues easy to understand

34 minutes 25 seconds

2 months ago

Inside the AI Health Stack: What Clinicians, Investors, and Patients Actually Use today

In this episode, we dive into a first-of-its-kind AI healthcare landscape report built with Gemini and human insight. Based on structured data, stakeholder interviews, and applied LLM analysis, this research identifies what AI solutions are actually in use today and why when deploying AI in healthcare—from the clinic to the boardroom.

We explore:

The top use cases for AI in 2025 across diagnostics, care delivery, operations, and patient engagement
Clinician and hospital pain points: workflow friction, training gaps, EHR overload
Investor signals: where funding is flowing—and where it's not
A breakdown of the "AI Health Stack": Infrastructure, Algorithms, Applications, Ethics
The surprising disconnects between patient expectations and provider adoption

This episode offers a grounded, forward-looking take on which AI solutions are cutting through the hype—and why successful adoption will require more than just great tech.